Supplementary Movie 2 from Data-driven inference of digital twins for high-throughput phenotyping of motile and light-responsive microorganisms

Figshare 2026 Open access

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Authors: Andrea Giusti, Davide Salzano, Mario di Bernardo, Thomas E. Gorochowski
DOI: 10.6084/m9.figshare.31055438
Cited by: 0

Abstract

Comparison of the aggregated experimental data and digital twins of an E. gracilis population being exposed to a 'BCL' light pattern (letters were dark on a illuminated background).

Fields of Study & Subjects

Cell Image Analysis Techniques Micro and Nano Robotics Bacterial biofilms and quorum sensing

Publication details

Journal / source
Figshare
Publication date
1 January 2026